Cloud Cost Optimization

“We help organizations reduce cloud waste by up to 40% with CPA-level accountability and AI-powered optimization. From rightsizing AWS/Azure/GCP workloads to embedding cost governance into your DevOps pipelines, we ensure your cloud spend is efficient, transparent, and aligned with compliance requirements.”

1. Visibility & Transparency

• Centralized dashboards showing who is spending what (by team, project, region).

• Tagging & labeling resources for allocation accuracy.

• Mapping costs to unit economics (cost per customer, per transaction, per feature).

👉 Example: Breaking down $500K/month AWS bill into “Engineering vs. Marketing vs. Data Science workloads.”

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2. Rightsizing Resources

• Identify idle/underutilized compute, storage, databases.

• Resize instances to match actual usage.

• Shut down non-prod/test environments when not in use.

👉 Example: “$30K savings by rightsizing 40% of EC2 instances.”

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3. Purchasing & Pricing Optimization

• Use Reserved Instances (RIs) or Savings Plans for predictable workloads.

• Adopt spot instances for flexible workloads.

• Negotiate enterprise agreements with AWS/Azure/GCP.

👉 Example: Cutting costs 20–30% by moving from on-demand to reserved capacity.

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4. Storage Optimization

• Tier data into cheaper classes (S3 Standard → S3 Glacier).

• Clean up orphaned snapshots, unused volumes.

• Archive logs intelligently (stay compliant but save cost).

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5. FinOps Governance & Policies

• Budgeting and forecasting cloud spend.

• Alerting for anomalies (e.g., sudden 40% spike).

• Chargeback/showback to business units.

• Embedding cost controls into CI/CD pipelines (“don’t deploy non-tagged resources”).

👉 This is where CPA + FinOps = unique differentiator → you tie spend governance directly to financial accountability.

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6. Automation & AI-Driven Optimization

• RPA bots that auto-shutdown idle resources.

• AI models predicting next month’s bill based on growth trends.

• Agentic AI scanning configs for cost + compliance risks at the same time.